2022
DOI: 10.1007/s00704-022-04088-3
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Investigation of changes in vegetation cover associated with changes in its hydro-climatic drivers in recent decades over North Sub-Saharan Africa

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Cited by 4 publications
(2 citation statements)
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“…This represented the existence of two opposing relationships between the effects of vegetation on SWC. On the one hand, large amounts of shallow SWC were consumed through vegetation self-growth [43] and transpiration [44]. On the other hand, vegetation and litter contributed to SWC by providing shade and retaining rain-fall to decrease evaporation [37].…”
Section: Control Factors For Swcmentioning
confidence: 99%
“…This represented the existence of two opposing relationships between the effects of vegetation on SWC. On the one hand, large amounts of shallow SWC were consumed through vegetation self-growth [43] and transpiration [44]. On the other hand, vegetation and litter contributed to SWC by providing shade and retaining rain-fall to decrease evaporation [37].…”
Section: Control Factors For Swcmentioning
confidence: 99%
“…In arid regions, lake water resources (e.g., surface area, water level, and volume), vegetation (e.g., Normalized Difference Vegetation Index (NDVI), net primary productivity, and gross primary productivity), and hydroclimatic factors (e.g., temperature, precipitation, and runoff) have garnered global attention ( Jiapaer et al., 2011 ; Voss et al., 2013 ; Chen et al., 2020 ; Kooch et al., 2022 ; Liu et al., 2023 ). The relationships between lake surface area and hydroclimatic factors and between NDVI and hydroclimatic factors have been extensively scrutinized across various spatial scales ( Shen et al., 2017 ; Nourani et al., 2021 ; Ogou et al., 2022 ; Gbetkom et al., 2023 ). Previous studies have illustrated the strong correlations between lake surface area and variables like temperature and precipitation in arid regions.…”
Section: Introductionmentioning
confidence: 99%